Skip to content

CS-BIO/Mol-GDL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Mol-GDL

Molecular geometric deep learning

Requirements

  • torch 1.4.1
  • torch-cluster 1.5.4
  • torch-geometric 2.0.4
  • torch-scatter 2.0.4
  • torch-sparse 0.6.1
  • torch-spline-conv 1.2.0
  • numpy 1.21.6
  • pandas 0.24.2
  • sklearn 0.20.3

Step 1: run creat_data_DC.py

  • Running the creat_data_DC.py file will generate three .pt files for training set, test set and validation set in the data folder for the downstream graph neural network model.

Step 2: run training_GCN.py

  • Run the training_GCN.py file to get the results directly.

Contacts

If you have any questions or comments, please feel free to email Cong Shen (cshen[at]hnu[dot]edu[dot]cn) and/or Jiawei Luo (luojiawei[at]hnu[dot]edu[dot]cn) and/or Kelin Xia(xiakelin[at]ntu[dot]edu[dot]sg).

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages